SOTAVerified

Instruction Following

Instruction following is the basic task of the model. This task is dedicated to evaluating the ability of the large model to follow human instructions. It is hoped that the model can generate controllable and safe answers.

Papers

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Showing 811–820 of 1135 papers

TitleStatusHype
SaulLM-54B & SaulLM-141B: Scaling Up Domain Adaptation for the Legal Domain—0
PrimeGuard: Safe and Helpful LLMs through Tuning-Free RoutingCode0
HAPFI: History-Aware Planning based on Fused Information—0
Failures to Find Transferable Image Jailbreaks Between Vision-Language Models—0
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities—0
Empowering Persian LLMs for Instruction Following: A Novel Dataset and Training ApproachCode0
Situated Instruction Following—0
Instruction Following with Goal-Conditioned Reinforcement Learning in Virtual EnvironmentsCode0
Beyond Instruction Following: Evaluating Inferential Rule Following of Large Language Models—0
LVLM-empowered Multi-modal Representation Learning for Visual Place Recognition—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AutoIF (Llama3 70B)Inst-level loose-accuracy90.4—Unverified
2AutoIF (Qwen2 72B)Inst-level loose-accuracy88—Unverified
3GPT-4Inst-level loose-accuracy85.37—Unverified
4PaLM 2 SInst-level loose-accuracy59.11—Unverified